International business machines corporation (20240125835). ELECTROSTATIC ELECTRICITY MITIGATION simplified abstract

ELECTROSTATIC ELECTRICITY MITIGATION

Organization Name

international business machines corporation

Inventor(s)

John M. Ganci, Jr. of Raleigh NC (US)

Martin G. Keen of Cary NC (US)

Jeremy R. Fox of Georgetown TX (US)

Sarbajit K. Rakshit of Kolkata (IN)

ELECTROSTATIC ELECTRICITY MITIGATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240125835 titled 'ELECTROSTATIC ELECTRICITY MITIGATION

Simplified Explanation

The disclosed embodiments provide techniques for monitoring, detecting, predicting, and mitigating electrostatic electricity accumulation within a premises. Electrostatic electricity is detected via multiple electrostatic electricity sensors, which can detect electrostatic electricity and/or electrostatic potential. The data acquired from these sensors is correlated to mechanical activity using machine learning to predict future levels of electrostatic electricity and automatically invoke mitigation steps.

• Electrostatic electricity accumulation monitoring, detection, prediction, and mitigation techniques
• Multiple electrostatic electricity sensors for detecting electrostatic electricity and potential
• Acquiring data on mechanical activity through sensors and computer vision
• Correlating electrostatic electricity data to mechanical activity using machine learning
• Predicting future levels of electrostatic electricity based on proposed and/or mechanical activity
• Automatically invoking mitigation steps and generating alert messages

Potential Applications

The technology can be applied in various industries such as manufacturing, data centers, and healthcare facilities to prevent electrostatic discharge incidents.

Problems Solved

The technology helps in identifying and mitigating electrostatic electricity accumulation, reducing the risk of damage to sensitive equipment and potential safety hazards.

Benefits

- Improved safety by predicting and preventing electrostatic discharge incidents - Enhanced equipment reliability by reducing the impact of electrostatic electricity accumulation - Cost savings by avoiding potential damage to machinery and sensitive electronics

Potential Commercial Applications

"Electrostatic Electricity Accumulation Monitoring and Mitigation Technology in Manufacturing Facilities"

Possible Prior Art

There are existing systems for monitoring electrostatic electricity in industrial settings, but the integration of machine learning for predicting and mitigating future levels is a novel approach.

How does the technology differentiate between normal and abnormal levels of electrostatic electricity accumulation?

The technology uses machine learning algorithms to analyze the correlation between electrostatic electricity data and mechanical activity to determine abnormal levels.

What are the specific mitigation steps that can be automatically invoked by the system?

The system can automatically trigger actions such as grounding equipment, adjusting environmental conditions, or alerting personnel to reduce electrostatic electricity accumulation.

Original Abstract Submitted

disclosed embodiments provide techniques for monitoring, detecting, predicting, and mitigating electrostatic electricity accumulation. electrostatic electricity is detected within a premises, via multiple electrostatic electricity sensors. the electrostatic electricity sensors, also referred to as electrostatic charge sensors can detect electrostatic electricity and/or electrostatic potential. disclosed embodiments acquire electrostatic electricity data from multiple sensors. other mechanical activity is also acquired via sensors and/or computer vision techniques. the mechanical activity can include motion of machines and/or people. disclosed embodiments correlate levels of electrostatic electricity data to mechanical activity using machine learning. the machine learning system is used to predict future levels of electrostatic electricity based on proposed and/or mechanical activity, as well as automatically invoke mitigation steps and generate alert messages.